Specialist Solutions Architect (Security)

WinsAbove; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

Databricks is seeking a Specialist Solutions Architect to guide customers in building big data solutions on Databricks across diverse use cases. You will work hands-on with cloud infrastructure, security, and development best practices, mentoring through design, validation, and deployment while aligning technical roadmaps to expand platform usage.

This role travels up to 30% in Asia-Pacific and Greater China regions.

Qualifications

• Pre-sales or post-sales experience working with external clients across a variety of industry markets.
• Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark).
• Experience designing cloud infrastructure and services on AWS/Azure/GCP with security and networking best practices.
• Identity & Access Management (RBAC, least privilege, IdPs integration).
• Hands-on experience with cloud infrastructure automation (Terraform, ARM, CloudFormation).
• Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks to augment SIEM and threat hunting.
• Ability to design scalable, secure, cost-effective cloud-based big data solutions.
• Knowledge of CI/CD, unit and integration testing, and automation/orchestration.
• Production programming experience in Python, Scala, SQL, or R.

Responsibilities

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, including architecture, security design, development and deployment best practices including automation.
• Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation.
• Provide technical expertise in cloud infrastructure and security relating to the Databricks platform.
• Assist Solution Architects with advanced aspects of the technical sale including custom POC content, workload sizing, and custom architectures.
• Improve community adoption through tutorials, training, hackathons, conference presentations.
• Contribute to the Databricks Community and act as a technical SME.

Skills

Pre-sales experience

Data Platform engineer

Cloud infrastructure design

Cloud security

Cloud networking

RBAC/IdP concepts

Terraform

CloudFormation

ARM

Databricks

Python

Scala

SQL

R

Spark

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience

Tools

Terraform

CloudFormation

ARM

Job description

As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands‑on production experience with cloud infrastructure and big data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform. As a deep go‑to‑expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including automation
• Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation
• Provide technical expertise in cloud infrastructure and security relating to our Databricks Intelligence Platform
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures
• Improve community adoption (through tutorials, training, hackathons, conference presentations)
• Contribute to the Databricks Community and act as a technical SME.

What we look for

• Pre‑sales or post‑sales experience working with external clients across a variety of industry markets
• Experience as a Data Platform engineer designing, setting up, and maintaining production‑grade big data systems (Spark)
• Experience designing cloud infrastructure and services, such as AWS, Azure, or GCP, applying best practices in cloud security and networking, including:
• Designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity).
• Architect production cloud networks for data and AI workloads, including segmentation and routing, data exfiltration prevention, and performance/reliability
• Identity & Access Management (e.g. role‑based access control, using the principle of least privilege, integration with IdPs, etc)
• Hands‑on experience with cloud infrastructure automation (e.g. Terraform or cloud‑specific resource management tools like ARM, CloudFormation, etc).
• Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks to augment SIEM, enable security analytics and threat hunting, and build advanced detections.
• Ability to design and extend highly performant, scalable, secure, and cost‑effective cloud‑based big data solutions
• Deep knowledge of development tools and best practices for engineers including CI/CD, unit and integration testing, plus automation and orchestration
• Production programming experience in one or more of the following languages - Python, Scala, SQL, or R
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
• The role located in Singapore covers the Asean and Greater China Regions, which requires travel up to 30% when needed.
• Nice to have: Databricks Certification

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.